{"id":824113,"url":"https://alion.io/job/ncs-senior-ai-engineer-contact-centre","title":"Senior AI Engineer (Contact Centre)","company":{"id":8907,"name":"NCS","domain":"ncs.co","url":"https://alion.io/company/ncs-co","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"A","score":91,"open_postings":342,"ghost_share":0,"stale_share":0.143,"repost_share":0,"time_to_fill_p50_days":67,"computed_at":"2026-10-26T05:57:25Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":59000,"max_usd":129000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":28},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Anthropic","optional":false},{"name":"AutoGen","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"CrewAI","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"JavaScript","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LiteLLM","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"LLM Evaluation","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Milvus","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"NLP","optional":false},{"name":"NumPy","optional":false},{"name":"OpenAI","optional":false},{"name":"OpenAI Agents SDK","optional":false},{"name":"Pandas","optional":false},{"name":"pgvector","optional":false},{"name":"Portkey","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Qdrant","optional":false},{"name":"RAG","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Semantic Search","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"Time Series","optional":false},{"name":"TypeScript","optional":false},{"name":"Deepgram","optional":true},{"name":"ElevenLabs","optional":true},{"name":"LiveKit","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"NIST AI RMF","optional":true},{"name":"OWASP","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Promptfoo","optional":true},{"name":"Twilio","optional":true},{"name":"Whisper","optional":true}],"status":"live","first_seen_at":"2026-04-27T09:16:11Z","employer_posted_date":"2026-04-27","last_verified_at":"2026-10-26T17:19:10Z","board_verified":true,"closed_at":null,"days_open":182,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":181},"description":"NCS is a leading AI Tech Services company. With a 15,000-strong team across the Asia Pacific, NCS scales its platforms and capabilities to provide clients with greater agility and AI expertise across a range of Industries. Embracing a strong ecosystem of global partners, NCS transforms technology services delivery combining AI with digital resilience to drive real business impact. NCS is a subsidiary of the Singtel Group.\n As a Senior AI Engineer at NCS, you will be a technical leader operating at the intersection of engineering excellence and client partnership. You will lead end-to-end delivery of AI workstreams, design and build advanced agentic AI solutions, and serve as the credible technical face of NCS AI capabilities in client engagements. Beyond your strong hands-on AI engineering capabilities, you will lead small technical teams, engage clients with confidence, translate business problems into sound AI architectures, and mentor junior engineers. You will own delivery workstreams, guide your squad, and drive the successful implementation of next-generation AI-powered solutions across government, telco, financial services, and e-commerce sectors.\nWhat Will You Do?\nTechnical Delivery & AI Solution Development\nLead end-to-end delivery of AI workstreams from requirements through data preparation, modelling, integration, testing, and production handover\nDesign and build advanced agentic AI solutions including multi-agent systems, RAG pipelines with AI memory, planning and reasoning loops, and reflection patterns\nArchitect GenAI application stacks including LLM orchestration layers, observability tools (Langfuse, Braintrust), guardrails, and LLM gateway patterns (LiteLLM, Portkey)\nDevelop production-grade ML systems alongside GenAI components, maintaining quality across both paradigms\nDesign, build, and deploy end-to-end ML models (classification, regression, time-series, NLP) and integrate them into production systems\nDevelop GenAI applications including RAG pipelines, prompt-engineered chatbots, and lightweight agentic workflows using frameworks such as LangChain, LlamaIndex, LangGraph, or plain Python\nImplement effective RAG architectures including chunking strategies, embedding selection, vector store configuration (Qdrant, Milvus, pgvector), and retrieval evaluation\nBuild and maintain evaluation harnesses for AI system quality - correctness, faithfulness, latency, and safety\nEngineering Excellence & Quality Assurance\nConduct technical code reviews, enforce engineering standards, and introduce tooling that improves team velocity\nWrite clean, maintainable Python code; participate in code reviews; contribute to shared libraries and internal AI platform components\nDesign multi-component AI architectures and communicate them via clear diagrams and written specifications\nClient & Stakeholder Engagement\nServe as a primary technical point of contact for client teams in day-to-day delivery interactions\nLead or co-facilitate client workshops including requirements discovery, solution walkthroughs, sprint demos, and retrospectives\nTranslate ambiguous client requirements into well-defined technical user stories and acceptance criteria\nCommunicate technical trade-offs and design decisions in clear, accessible language appropriate for business stakeholders\nManage client expectations proactively, surface risks early, and propose mitigations\nTeam Leadership & Mentorship\nTechnically lead a small squad of 2-4 AI engineers; delegate tasks, review outputs, and coach on best practices\nMentor junior AI engineers on both technical skills and professional conduct in client settings\nContribute to internal knowledge-sharing through technical guidelines, lunch-and-learns, and building reusable AI platform components\nThe Ideal Candidate Should Possess:\nRequired Experience & Background\n5-8 years of hands-on AI/ML engineering or data science experience, with at least 2-3 years in client-facing or technical-lead roles\nProven delivery of complex AI projects end-to-end in a professional services, consulting, or systems integration environment\nDemonstrable agentic AI project experience with systems incorporating RAG, AI memory, reflection, planning, and/or reasoning patterns\nCore Technical Competencies\nStrong Python programming with Pandas, NumPy, Scikit-learn, PyTorch or TensorFlow; comfortable writing modular, testable code\nSolid understanding of ML fundamentals including feature engineering, model evaluation, bias-variance trade-off, and hyperparameter optimisation\nHands-on GenAI experience building RAG chatbots and applications, working with LLM APIs (OpenAI, Anthropic, AWS Bedrock, Azure OpenAI, or equivalent)\nFamiliarity with vector databases and embedding models for semantic search and retrieval (e.g., Qdrant, Milvus, pgvector)\nExperience with at least one cloud platform (AWS, Azure, or GCP) for model training or deployment\nProficiency with Git, CI/CD, and containerisation (Docker); familiarity with MLOps practices\nProficiency in at least one additional programming language beyond Python (e.g., TypeScript/JavaScript, Java, Go, or advanced SQL)\nDeep hands-on experience with agentic frameworks such as LangGraph, CrewAI, AutoGen, or OpenAI Agents SDK\nExperience with LLM observability, evaluation, and guardrails tooling in production environments\nComfort with multiple programming languages and full-stack awareness (APIs, front-end integration, data pipelines)\nWorking knowledge of MLOps and AI infrastructure including model serving, monitoring, and CI/CD for AI systems\nClient Engagement & Communication Skills\nProven experience engaging directly with client stakeholders - including non-technical business owners - on AI solution design and delivery\nStrong written and verbal communication skills; able to produce client-ready documentation, presentations, and technical specifications\nExperience managing small delivery teams and coordinating across cross-functional groups\nPreferred Qualifications (Nice-to-Have)\nExperience building voice AI bots using a pro-code approach (Amazon Connect, Twilio, Deepgram, Whisper / ElevenLabs + custom orchestration, or LiveKit) - a strong differentiator for this role\nExperience with MCP (Model Context Protocol) for tool integration in enterprise agentic systems\nFamiliarity with responsible AI frameworks such as NIST AI RMF, MAS TRM, or equivalent governance standards\nExposure to red-teaming and AI safety testing (OWASP LLM Top 10, promptfoo, adversarial prompt evaluation)\nPresales support experience including contributing to proposals, RFP responses, or solution scoping\nDomain experience in government, financial services, telco, or e-commerce AI use cases\nAWS, Azure, or GCP certifications (ML or AI specialty) are preferred but not mandatory\nEducation Qualification\nDegree in Statistics, Computer Science, Engineering, Data Science, or equivalent quantitative discipline\nWhy Join NCS \nLead high-impact Data & AI advisory programs for major enterprises and public sector clients.\n\nShape enterprise strategies and governance frameworks that drive real transformation.\n\nWork with a talented, multidisciplinary team in a collaborative environment.\n\nCompetitive compensation and strong professional development support.\n\nWe are driven by our AEIOU beliefs-Adventure, Excellence, Integrity, Ownership, and Unity-and we seek individuals who embody these values in both their professional and personal lives. We are committed to our Impact: Valuing our clients, Growing our people, and Creating our future.\nTogether, we make the extraordinary happen.\nLearn more about us at ncs.co and visit our LinkedIn career site.\nScam Alert\nWe are aware of fraudulent job offers and impersonations of NCS recruiters. Phishing emails using convincing-looking but fake addresses are also commonly used to trick you into thinking that they come from official NCS sources.\nPlease note that all official communications from NCS Group will only be sent from verified corporate email addresses. Always check that the sender’s email address ends with the genuine NCS domain, @ncs.com.sg and beware of extra letters, symbols or misspellings. 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